Alexander Vess
Biographic Data
| ID | 6086568 |
|---|---|
| NAME | Alexander Vess |
| GIVEN NAMES | Alexander |
| FAMILY NAME | Vess |
| SIGNATURE | VESS A |
| AFFILIATIONS | Department of Psychiatry and Behavioral Sciences University of Washington Seattle Washington USA |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Characterizing components of and attendance at resident‐driven Housing First programming in the context of community‐based participatory research
AIMS: This secondary study characterized components of and engagement in the life-enhancing alcohol-management program (LEAP), which is resident-driven housing first programming. METHODS: We used a process akin to conventional content analysis to operationalize the LEAP according to its component activities. We used generalized linear modeling to identify predictors of LEAP activity participation and to predict alcohol and quality-of-life outcome…
Characterizing components of and attendance at resident‐driven Housing First programming in the context of community‐based participatory research
AIMS: This secondary study characterized components of and engagement in the life-enhancing alcohol-management program (LEAP), which is resident-driven housing first programming. METHODS: We used a process akin to conventional content analysis to operationalize the LEAP according to its component activities. We used generalized linear modeling to identify predictors of LEAP activity participation and to predict alcohol and quality-of-life outcome…
Characterizing components of and attendance at resident‐driven Housing First programming in the context of community‐based participatory research
AIMS: This secondary study characterized components of and engagement in the life-enhancing alcohol-management program (LEAP), which is resident-driven housing first programming. METHODS: We used a process akin to conventional content analysis to operationalize the LEAP according to its component activities. We used generalized linear modeling to identify predictors of LEAP activity participation and to predict alcohol and quality-of-life outcome…
Applied Psychology (1 works) · Attendance (1 works) · Context (archaeology) (1 works) · Gerontology (1 works) · Gerontology (1 works) · Homelessness and Social Issues (1 works) · Medical education (1 works) · Medicine (1 works) · Operationalization (1 works) · Political science (1 works)